# IEEE Transactions on Computational Imaging

### Early Access Articles

Early Access articles are made available in advance of the final electronic or print versions. Early Access articles are peer reviewed but may not be fully edited. They are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 39
• ### A Vignetting Model for Light Field Cameras with an Application to Light Field Microscopy

Publication Year: 2019, Page(s): 1
| | PDF (5037 KB)

In standard photography, vignetting is considered mainly as a radiometric effect because it results in a darkening of the edges of the captured image. In this paper, we demonstrate that for light field cameras, vignetting is more than just a radiometric effect. It modifies the properties of the acquired light field and renders most of the calibration procedures from the literature inadequate. We a... View full abstract»

• ### Deep Spatial-spectral Representation Learning for Hyperspectral Image Denoising

Publication Year: 2019, Page(s): 1
| | PDF (7898 KB)

Deep learning has found successful applications in restoration of 2D images including denoising, dehazing, superresolution and so on. However, existing DCNN architecture cannot fully exploit spatial-spectral correlations in 3D hyperspectral images (directly extending 2D DCNN into 3D will significantly increase computational complexity); meantime, unlike 2D images, there is an obstacle caused by th... View full abstract»

• ### Accurate Multi-material Decomposition in Dual-energy CT: a Phantom Study

Publication Year: 2019, Page(s): 1
| | PDF (1397 KB)

Dual-energy CT (DECT) differentiates materials by exploiting the varying material linear attenuation coefficients (LACs) for different x-ray energy spectra. Multi-material decomposition (MMD) is a particularly attractive DECT clinical application to distinguish the complicated material components within the human body. One prior material assisted (PMA) image domain MMD method was implemented but h... View full abstract»

• ### On the Fusion of Energy Resolved Scatter and Attenuation Data for Limited-view X-ray Materials Characterization with Application to Security Screening

Publication Year: 2019, Page(s): 1
| | PDF (1241 KB)

Motivated by the use of X-rays for security screening, we demonstrate the utility of fusing energy-resolved observations of scattered photons with traditional attenuation data for the joint recovery of electron density and photoelectric coefficient in the context of limited-view tomographic imaging scenarios. We begin by developing a physical and associated numerical model for the scatter physics ... View full abstract»

• ### Deep Visual Sharing with Colorblind

Publication Year: 2019, Page(s): 1
| | PDF (6034 KB) |  Media

Visual sharing between color vision deficiency (CVD) and normal-vision audiences is challenging due to the need of simultaneous satisfaction of multiple binocular visual requirements, in order to offer a color-distinguishable and binocularly fusible visual experience to CVD audiences, without hurting the visual experience of the normal-vision audiences. Existing methods enable the feasibility of v... View full abstract»

• ### A Hardware Realization of Superresolution Combining Random Coding and Blurring

Publication Year: 2019, Page(s): 1
| | PDF (5303 KB)

Resolution enhancements are often desired in imaging applications where high-resolution sensor arrays are difficult to obtain. Many computational imaging methods have been proposed to encode high-resolution scene information on low-resolution sensors by cleverly modulating light from the scene before it hits the sensor. These methods often employ movement of some portion of the imaging apparatus, ... View full abstract»

• ### Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging

Publication Year: 2019, Page(s): 1
| | PDF (8305 KB) |  Media

Coded-illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured with different source patterns, then a non-linear phase retrieval optimization reconstructs the image. The non-linear nature of the processing makes optimizing the illumination pattern designs complicated. Traditional techniques for experimental desig... View full abstract»

• ### Multiple-Input Multiple-Output (MIMO) MRI: Combining Parallel Excitation and Parallel Reception for Enhanced Imaging

Publication Year: 2019, Page(s): 1
| | PDF (1002 KB)

Magnetic resonance imaging (MRI) plays a critical role in visualizing the structure and functions of the human body. In order to accelerate imaging time and improve image quality, radio-frequency (RF) coil receive arrays are commonly employed to acquire the magnetic resonance (MR) signal. Similarly, multiple transmit coils have been shown to accelerate and refine RF excitation. In this work, we in... View full abstract»

• ### Spectral CT Reconstruction - ASSIST: Aided by Self-Similarity in Image-Spectral Tensors

Publication Year: 2019, Page(s): 1
| | PDF (5794 KB)

Spectral computed tomography (CT) reconstructs multi-energy images from data in different energy bins. However, these reconstructed images can be contaminated by noise due to the limited numbers of photons in the corresponding energy bins. In this paper, we propose a spectral CT reconstruction method aided by self-similarity in image-spectral tensors (ASSIST), which utilizes the self-similarity of... View full abstract»

• ### High Bit-depth Image Acquisition Framework using Embedded Quantization Bias

Publication Year: 2019, Page(s): 1
| | PDF (2606 KB)

We present a novel image acquisition framework capable of reconstructing high bit-depth images using an array of low bit-depth scalar quantizers. Our key contribution is a co-design of pixel quantization and reconstruction in image acquisition pipeline. Different from traditional image acquisition scheme where each pixel value is quantized and reconstructed independently, the proposed framework is... View full abstract»

• ### A Generalized Phase Gradient Autofocus Algorithm

Publication Year: 2019, Page(s): 1
| | PDF (16941 KB)

The phase gradient autofocus (PGA) algorithm has seen widespread use and success within the synthetic aperture radar (SAR) imaging community. However, its use and success has largely been limited to collection geometries where either the polar format algorithm (PFA) or range migration algorithm (RMA) is suitable for SAR image formation. In this work, a generalized phase gradient autofocus (GPGA) a... View full abstract»

• ### Removing Reflection From a Single Image With Ghosting Effect

Publication Year: 2019, Page(s): 1
| | PDF (11229 KB)

How to remove undesired reflections of images taken through glass is an important problem in digital photography and other vision applications. When taking images through thick or insulating glass windows, the so-called ghosting effect, i.e. pattern repetitiveness in reflection, is exploited in existing reflection removal techniques. By formulating reflection removal as a two-layer separation prob... View full abstract»

• ### Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures

Publication Year: 2019, Page(s): 1
| | PDF (1804 KB)

For Bayesian image reconstruction applications in which the measured image follows from physical considerations, it is desirable to incorporate the corresponding physics as the prior model. In this work, we use a phase field as the physics-based prior model to implement the soft segmentation and reconstruction of noisy microstructural images of a polycrystalline, covalent material (SiC). The funct... View full abstract»

• ### PI-line difference for alignment and motion-correction of cone-beam helical-trajectory micro-tomography data

Publication Year: 2019, Page(s): 1
| | PDF (3925 KB)

In micro-tomography, variants of helical X-ray source trajectories, e.g., double-helix (DH) and space-filling (SF), are attractive alternatives to the conventional circular trajectory, as they satisfy data-sufficiency conditions; this enables exact reconstruction, and large cone-angle (or high flux) imaging. Geometric alignment of micro-tomography experimental data, i.e., radiographs or projection... View full abstract»

• ### Full View Optical Flow Estimation Leveraged from Light Field Superpixel

Publication Year: 2019, Page(s): 1
| | PDF (5464 KB) |  Media

In this paper, we present a full view optical flow estimation method for plenoptic imaging. Our method employs the structure delivered by the 4D light field over multiple views making use of super-pixels. These super-pixels are four dimensional in nature and can be used to represent the objects in the scene as a set of slanted-planes in 3D space so as to recover a piecewise rigid depth estimate. T... View full abstract»

• ### A convex formulation for binary tomography

Publication Year: 2019, Page(s): 1
| | PDF (3347 KB)

Binary tomography is concerned with the recovery of binary images from a few of their projections (i.e., sums of the pixel values along various directions). To reconstruct an image from noisy projection data, one can pose it as a constrained least-squares problem. As the constraints are non- convex, many approaches for solving it rely on either relaxing the constraints or heuristics. In this paper... View full abstract»

• ### Four-dimensional tomographic reconstruction by time domain decomposition

Publication Year: 2019, Page(s): 1
| | PDF (1651 KB)

For classical tomography it is essential that the sample does not change during the acquisition of one tomographic rotation. We derived and successfully implemented a tomographic reconstruction method which relaxes this requirement of quasi-static samples. In the presented method, dynamic tomographic data sets are decomposed in the temporal domain by projecting to a lower dimensional subspace of b... View full abstract»

• ### A Physical Model of Non-stationary Blur in Ultrasound Imaging

Publication Year: 2019, Page(s): 1
| | PDF (4284 KB)

While restoration methods have been extensively studied in ultrasound (US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations such as lossless homogeneous media. Despite a highly non-stationary blur due to diffraction effects, many techniques rely on simplistic approximations based on shift-invariant models... View full abstract»

• ### Mixed Integer Programming for Sparse Coding: Application to Image Denoising

Publication Year: 2019, Page(s): 1
| | PDF (509 KB)

Dictionary learning for sparse representations is generally conducted in two alternating steps: sparse coding and dictionary updating. In this paper, a new approach to solve the sparse coding step is proposed. Because this step involves a $\ell_o$-norm, most, if not all existing solutions only provide a local or approximate solution. Instead, a real \$\el... View full abstract»

• ### Undersampled dynamic X-ray tomography with dimension reduction Kalman filter

Publication Year: 2019, Page(s): 1
| | PDF (7053 KB) |  Media

In this paper, we propose prior-based dimension reduction Kalman filter for undersampled dynamic X-ray tomography. With this method, the X-ray reconstructions are parameterized by a low-dimensional basis. Thus, the proposed method is a) computationally very light; and b) extremely robust as all the computations can be done explicitly. With real and simulated measurement data, we show that the meth... View full abstract»

• ### Analysis of Artifacts in SAR Imagery Due to Fluctuation in Refractive Index

Publication Year: 2019, Page(s): 1
| | PDF (2873 KB)

We analyze the artifacts in Synthetic Aperture Radar (SAR) imagery due to fluctuations in the refractive index of the atmosphere, specifically due to absorption and variations in speed of light. SAR image reconstruction algorithms ignore absorption and assume unit refractive index. We assume a complex valued refractive index for the atmosphere and analyze the errors in reconstructed images due to ... View full abstract»

• ### Analysis of the use of unmatched backward operators in iterative image reconstruction with application to three-dimensional optoacoustic tomography

Publication Year: 2019, Page(s): 1
| | PDF (2539 KB)

Due to their ability to model complicated imaging physics, to compensate for imperfect data acquisition systems, and to exploit prior information regarding the to-be-imaged object, iterative image reconstruction algorithms can often produce higher quality images than analytical reconstruction methods. However, for three-dimensional (3D) imaging tasks with large fields-of-view, iterative reconstruc... View full abstract»

• ### Manifold recovery using kernel low-rank regularization: application to dynamic imaging

Publication Year: 2019, Page(s): 1
| | PDF (9026 KB) |  Media

We introduce a novel kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI data from highly undersampled measurements. The image frames in the free breathing and ungated dataset are assumed to be points on a bandlimited manifold. We show that the non-linear features of these images satisfy annihilation conditions, which implies that the kernel matrix derived from the dataset ... View full abstract»

• ### Various Compressed Sensing Set-Ups Evaluated Against Shannon Sampling Under Constraint of Constant Illumination

Publication Year: 2019, Page(s): 1
| | PDF (2805 KB)

Under the constraint of constant illumination, an information criterion is formulated for the Fisher information that compressed sensing measurements in optical and transmission electron microscopy contain about the underlying parameters. Since this approach requires prior knowledge of the signal's support in the sparse basis, we develop a heuristic quantity, the detective quantum efficiency (DQE)... View full abstract»

• ### Multi-resolution Cube Propagation for 3D Ultrasound Image Reconstruction

Publication Year: 2019, Page(s): 1
| | PDF (1848 KB)

3D ultrasound provides physicians with volume rendering of patient ultrasound data. This medical ultrasound technique carries important clinical value in image-guided surgery. However, 3D ultrasound is not widely used because obtaining 3D ultrasound images is difficult and costly, and the technology used is incapable of scanning large-volume organs. This study proposes a novel method for 3D freeha... View full abstract»

## Aims & Scope

The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Dr. Brendt Wohlberg
Los Alamos National Laboratory